JSON to Parquet converter

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Accepts json

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Convert JSON to Parquet online

With our online JSON to Parquet converter you can convert your files without downloading any software or writing code. Unlike other services, you can make graphs from your converted data or perform analysis. Just click the navigation on the left hand side.

Convert JSON to Parquet online

Works with large JSON files that have millions of rows

View your converted Parquet data before downloading it

JSON

Java Script Object Notation (JSON) is a format that was designed for use with the Javascript Programming Language.

JSON files do not have a schema or required columns. Each row can have different field names and types. This can

make JSON files difficult to analyze.

Parquet

Apache Parquet (.parquet) is a format that was designed for storing tabular data on disk. It was designed based on the format used in Google's Dremel paper (Dremel later became Big Query).

Parquet files store data in a binary format, which means that they can be efficiently read by computers but are difficult for people to read.

Parquet files have a schema, so means that every value in a column must have the same type. The schema makes Parquet files easier to analyse than CSV files and also helps them to have better compression so they are smaller on disk.

How to convert JSON to Parquet

  1. Upload your JSON file
  2. Your JSON file will be converted to Parquet
  3. Download your Parquet file
  4. Click the view button to view your file

How to convert JSON to Parquet in Python

We can convert JSON to Parquet in Python using Pandas or DuckDB

How to Convert JSON to Parquet using Pandas

First, we need to install pandas

pip install pandas

Then we can load the JSON file into a dataframe

df = pd.read_json('path/to/file.json')

Finally, we can export the dataframe to the Parquet format

df.to_parquet('path/to/file.parquet', index=False)

How to Convert JSON to Parquet using DuckDB

First, we need to install duckdb for Python

 pip install duckdb

The following DuckDB query will read a JSON file and output a Parquet file

duckdb.sql("""COPY (select * from 'path/to/file.json') TO 'path/to/file.parquet' (FORMAT 'parquet')""")
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